23.3.10.3 Copy-Move Tamper Detection, Forensics

Chapter Contents (Back)
Copy Move. Tamper Detection. Image Forensics.

Jajal, B.[Brijesh], Desai, V.[Vipul],
Identification of copy-paste regions in digital image,
IJIST(20), No. 4, December 2010, pp. 367-369.
DOI Link 1011
Image forensics. BibRef

Silva, E.[Ewerton], Carvalho, T.[Tiago], Ferreira, A.[Anselmo], Rocha, A.[Anderson],
Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes,
JVCIR(29), No. 1, 2015, pp. 16-32.
Elsevier DOI 1504
Award, JVCI, Best Paper. Copy-move forgery detection BibRef

Lee, J.C.[Jen-Chun],
Copy-move image forgery detection based on Gabor magnitude,
JVCIR(31), No. 1, 2015, pp. 320-334.
Elsevier DOI 1508
Digital image forensics BibRef

Ferreira, A., Felipussi, S.C., Alfaro, C., Fonseca, P., Vargas-Muñoz, J.E., dos Santos, J.A., Rocha, A.,
Behavior Knowledge Space-Based Fusion for Copy-Move Forgery Detection,
IP(25), No. 10, October 2016, pp. 4729-4742.
IEEE DOI 1610
decision making BibRef

Dixit, R.[Rahul], Naskar, R.[Ruchira], Mishra, S.[Swati],
Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD,
IET-IPR(11), No. 5, April 2017, pp. 301-309.
DOI Link 1706
BibRef

Dixit, R.[Rahul], Naskar, R.[Ruchira],
Review, analysis and parameterisation of techniques for copy-move forgery detection in digital images,
IET-IPR(11), No. 9, September 2017, pp. 746-759.
DOI Link 1709
BibRef

Warif, N.B.A.[Nor Bakiah Abdul], Wahab, A.W.A.[Ainuddin Wahid Abdul], Idris, M.Y.I.[M. Yamani Idna], Salleh, R.[Rosli], Othman, F.[Fazidah],
SIFT-Symmetry: A robust detection method for copy-move forgery with reflection attack,
JVCIR(46), No. 1, 2017, pp. 219-232.
Elsevier DOI 1706
Blind, detection BibRef

Jin, G.[Guonian], Wan, X.X.[Xiao-Xia],
An improved method for SIFT-based copy-move forgery detection using non-maximum value suppression and optimized J-Linkage,
SP:IC(57), No. 1, 2017, pp. 113-125.
Elsevier DOI 1709
Copy-move forgery detection BibRef

Soni, B.[Badal], Das, P.K.[Pradip K.], Thounaojam, D.M.[Dalton Meitei],
CMFD: a detailed review of block based and key feature based techniques in image copy-move forgery detection,
IET-IPR(12), No. 2, February 2018, pp. 167-178.
DOI Link 1801
BibRef

Wo, Y.[Yan], Yang, K.[Kemin], Han, G.[Guoqiang], Chen, H.[Haichao], Wu, W.[Wenbo],
Copy-move forgery detection based on multi-radius PCET,
IET-IPR(11), No. 2, February 2017, pp. 99-108.
DOI Link 1703
BibRef

Manu, V.T., Mehtre, B.M.,
Copy-move tampering detection using affine transformation property preservation on clustered keypoints,
SIViP(12), No. 3, March 2018, pp. 549-556.
WWW Link. 1804
BibRef

Mahmood, T.[Toqeer], Mehmood, Z.[Zahid], Shah, M.[Mohsin], Saba, T.[Tanzila],
A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform,
JVCIR(53), 2018, pp. 202-214.
Elsevier DOI 1805
Copy-move forgery, Tampered images, Forgery detection, Authenticity, Passive authentication BibRef

Bi, X.L.[Xiu-Li], Pun, C.M.[Chi-Man],
Fast copy-move forgery detection using local bidirectional coherency error refinement,
PR(81), 2018, pp. 161-175.
Elsevier DOI 1806
Copy-move forgery detection, Enhanced coherency sensitive searching, Local bidirectional coherency error BibRef

Liu, B.[Bo], Pun, C.M.[Chi-Man],
Locating splicing forgery by fully convolutional networks and conditional random field,
SP:IC(66), 2018, pp. 103-112.
Elsevier DOI 1806
Splicing forgery, Deep neural network, Fully convolutional network, Conditional random field BibRef

Barni, M., Santoyo-García, H., Tondi, B.,
An Improved Statistic for the Pooled Triangle Test Against PRNU-Copy Attack,
SPLetters(25), No. 10, October 2018, pp. 1435-1439.
IEEE DOI 1810
cameras, image forensics, security of data, statistical analysis, pooled triangle test, PRNU-copy attack, triangle test BibRef

Soni, B.[Badal], Das, P.K.[Pradip K.], Thounaojam, D.M.[Dalton Meitei],
Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm,
IET-IPR(12), No. 11, November 2018, pp. 2092-2099.
DOI Link 1810
BibRef

D'Amiano, L., Cozzolino, D., Poggi, G., Verdoliva, L.,
A PatchMatch-Based Dense-Field Algorithm for Video Copy-Move Detection and Localization,
CirSysVideo(29), No. 3, March 2019, pp. 669-682.
IEEE DOI 1903
Forgery, Feature extraction, Data structures, Boolean functions, Additives, Complexity theory, Tools, Video forensics, 3D PatchMatch BibRef


Cun, X.D.[Xiao-Dong], Pun, C.M.[Chi-Man],
Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields,
Objectionable18(II:252-266).
Springer DOI 1905
BibRef

Liu, B.[Bo], Pun, C.M.[Chi-Man],
Deep Fusion Network for Splicing Forgery Localization,
Objectionable18(II:237-251).
Springer DOI 1905
BibRef

Dadkhah, S.[Sajjad], Koppen, M., Sadeghi, S.[Somayeh], Yoshida, K., Jalab, H.A., Manaf, A.A.[Azizah Abd],
An efficient ward-based copy-move forgery detection method for digital image forensic,
IVCNZ17(1-6)
IEEE DOI 1902
data compression, feature extraction, image coding, image forensics, image matching, pattern clustering, Digital Image Forensics BibRef

Niyishaka, P.[Patrick], Bhagvati, C.[Chakravarthy],
Digital Image Forensics Technique for Copy-Move Forgery Detection Using DoG and ORB,
ICCVG18(472-483).
Springer DOI 1810
BibRef

Pomari, T., Ruppert, G., Rezende, E., Rocha, A., Carvalho, T.,
Image Splicing Detection Through Illumination Inconsistencies and Deep Learning,
ICIP18(3788-3792)
IEEE DOI 1809
Splicing, Feature extraction, Forgery, Lighting, Task analysis, Training, Forensics BibRef

Wu, Y.[Yue], Abd-Almageed, W.[Wael], Natarajan, P.[Prem],
BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization,
ECCV18(VI: 170-186).
Springer DOI 1810
BibRef
Earlier:
Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network,
WACV18(1907-1915)
IEEE DOI 1806
affine transforms, convolution, feature extraction, feedforward neural nets, image forensics, Training data BibRef

Novozámsky, A., Šorel, M.,
JPEG compression model in copy-move forgery detection,
IPTA17(1-6)
IEEE DOI 1804
data compression, image coding, image forensics, image texture, JPEG compression model, JPEG-based constraint, Quantization constraint set BibRef

Roy, A., Konda, A., Chakraborty, R.S.,
Copy move forgery detection with similar but genuine objects,
ICIP17(4083-4087)
IEEE DOI 1803
Databases, Estimation, Feature extraction, Forgery, Lighting, Robustness, Transforms, Copy-move forgery, similar but genuine objects BibRef

Khayeat, A.R.H.[Ali Retha Hasoon], Rosin, P.L.[Paul L.], Sun, X.F.[Xian-Fang],
Copy-Move Forgery Detection Using the Segment Gradient Orientation Histogram,
SCIA17(I: 209-220).
Springer DOI 1706
BibRef
Earlier: A1, A3, A2:
Improved DSIFT Descriptor Based Copy-Rotate-Move Forgery Detection,
PSIVT15(642-655).
Springer DOI 1602
BibRef

Kuznetsov, A.[Andrey],
Remote Sensing Data Copy-Move Forgery Protection Algorithm,
ICCVG16(544-552).
Springer DOI 1611
BibRef

Kuznetsov, A.[Andrey], Myasnikov, V.[Vladislav],
A Copy-Move Detection Algorithm Using Binary Gradient Contours,
ICIAR16(349-357).
Springer DOI 1608
BibRef

Kushol, R., Salekin, M.S., Kabir, M.H., Khan, A.A.,
Copy-Move Forgery Detection Using Color Space and Moment Invariants-Based Features,
DICTA16(1-6)
IEEE DOI 1701
Digital images BibRef

Wen, B., Zhu, Y., Subramanian, R., Ng, T.T., Shen, X., Winkler, S.,
COVERAGE: A novel database for copy-move forgery detection,
ICIP16(161-165)
IEEE DOI 1610
Adaptation models BibRef

Cozzolino, D.[Davide], Poggi, G.[Giovanni], Verdoliva, L.[Luisa],
Copy-move forgery detection based on PatchMatch,
ICIP14(5312-5316)
IEEE DOI 1502
Boolean functions BibRef

Al-Qershi, O.M.[Osamah M.], Khoo, B.E.[Bee Ee],
Enhanced Matching Method for Copy-Move Forgery Detection by Means of Zernike Moments,
IWDW14(485-497).
Springer DOI 1602
BibRef

Zhou, L.N.[Lin-Na], Guo, Y.B.[Yun-Biao], You, X.G.[Xin-Gang],
Blind Copy-Paste Detection Using Improved SIFT Ring Descriptor,
IWDW11(257-267).
Springer DOI 1208
BibRef

Murali, S., Anami, B.S., Chittapur, G.B.,
Detection of Copy-Create Image Forgery Using Luminance Level Techniques,
NCVPRIPG11(215-218).
IEEE DOI 1205
BibRef

Muhammad, N.[Najah], Hussain, M.[Muhammad], Muhamad, G.[Ghulam], Bebis, G.N.[George N.],
A Non-intrusive Method for Copy-Move Forgery Detection,
ISVC11(II: 516-525).
Springer DOI 1109
BibRef

Li, W.H.[Wei-Hai], Yu, N.H.[Neng-Hai],
Rotation robust detection of copy-move forgery,
ICIP10(2113-2116).
IEEE DOI 1009
BibRef

Zhang, T.[Ting], Wang, R.D.[Rang-Ding],
Copy-Move Forgery Detection Based on SVD in Digital Image,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Source Camera Identification, Camera Fingerprint .


Last update:Aug 10, 2019 at 15:07:15